class_docstr: A ParetoSpace class for agents, variables and methods
  related to the pareto-frontier search space.
docstr: Loads agents from pre-defined data points.
  
  Args:
      data_points: Pre-defined data points.
docstr_tok: ["Loads","agents","from","pre-defined","data","points",".","Args",":","data_points",":","Pre-defined","data","points","."]
code: def _load_agents(self, data_points: np.ndarray) -> None:
      """Loads agents from pre-defined data points.
  
      Args:
          data_points: Pre-defined data points.
  
      """
  
      for agent, data in zip(self.agents, data_points):
          agent.position = np.expand_dims(data, -1)
  
      self.best_agent = copy.deepcopy(self.agents[0])
  
file_path: opytimizer/opytimizer/spaces/pareto.py
imports: import copy
  from typing import List, Optional
  import numpy
  from opytimizer.core import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 2 for calling the ParetoSpace obj's underlying member method code with example usage: obj._load_agents(data_points) without return types